Week 10 Notes - Logistic Regression for Binary Outcomes: The case of recidivism
Key Concepts Learned
Part 1: Introduction to Logistic Regression
Coding Techniques
- [New R functions or approaches]
- [Quarto features learned]
Questions & Challenges
- What I didn’t fully understand
- the basic workflow: pull-commit-push
- Areas needing more practice
- remember the essential dplyr functions
Connections to Policy
- [How this week’s content applies to real policy work]
Reflection
- [What was most interesting]
- [How I’ll apply this knowledge]